3 papers
cs.CL2026
From Synthetic to Native: Benchmarking Multilingual Intent Classification in Logistics Customer Service
Haoyu He, Jinyu Zhuang, Haoran Chu +5
Multilingual intent classification is central to customer-service systems on global logistics platforms, where models must process noisy user queries across languages and hierarchi…
cs.LG2025
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions
Hongying Liu, Hao Wang, Haoran Chu +1
An unsolved issue in widely used methods such as Support Vector Data Description (SVDD) and Small Sphere and Large Margin SVM (SSLM) for anomaly detection is their nonconvexity, wh…
cs.LG2025
An Empirical Study of Qwen3 Quantization
Xingyu Zheng, Yuye Li, Haoran Chu +7
The Qwen series has emerged as a leading family of open-source Large Language Models (LLMs), demonstrating remarkable capabilities in natural language understanding tasks. With the…